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Page 1 109 __________________ __________________ _________________ _________________ Count the shapes in the above picture. Name the shapes that occurs the most that occurs the least 9 Data Handling Refer to page no. 145 to develop understanding of data handling. Teachers Note 2019-2020 Page 2 109 __________________ __________________ _________________ _________________ Count the shapes in the above picture. Name the shapes that occurs the most that occurs the least 9 Data Handling Refer to page no. 145 to develop understanding of data handling. Teachers Note 2019-2020 110 _________________ _________________ _________________ _________________ _________________ _________________ _________________ _________________ _________________ These childr en ar e friends. Count the number of letters in each name-wor d. How many names have four letters How many names have five letters How many names have six letters S J A C G S A R A A O R H E U H A S L S U I E B M V H T A U D E N N T B A I A U M P A H Names Number of letters __________________ __________________ _____ _____ S How many times comes in all the names taken together A How many times comes in all the names taken together 2019-2020Read More
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FAQs on NCERT Textbook- Data Handling - Mathematics for Class 1: NCERT
| 1. What is data handling? |  |
Ans. Data handling refers to the process of collecting, organizing, analyzing, and interpreting data to make meaningful conclusions and solve problems. It involves various techniques such as data collection, representation, and analysis.
| 2. What are the different methods of data collection? | |
Ans. There are several methods of data collection, including surveys, interviews, observations, experiments, and secondary data sources. Surveys involve asking questions to a specific group, interviews involve in-depth conversations with individuals, observations involve watching and recording behaviors, experiments involve controlled settings to test hypotheses, and secondary data sources refer to using existing data from books, articles, or databases.
| 3. How can data be represented in a graphical format? | |
Ans. Data can be represented graphically using various types of graphs and charts. Some common graphical representations include bar graphs, line graphs, pie charts, histograms, and scatter plots. These visual representations help in understanding trends, patterns, and comparisons within the data.
| 4. What is the purpose of data analysis? | |
Ans. The purpose of data analysis is to derive meaningful insights, identify patterns, and draw conclusions from the collected data. It involves organizing the data, performing calculations, applying statistical methods, and interpreting the results to make informed decisions or draw conclusions about the topic of study.
| 5. How can data handling be useful in everyday life? | |
Ans. Data handling is useful in everyday life as it helps in making informed decisions, solving problems, and understanding various phenomena. For example, analyzing sales data can help in identifying popular products, analyzing weather data can help in predicting future weather patterns, and analyzing health data can help in understanding disease trends. Data handling skills are valuable in fields such as business, science, research, and policymaking.
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